Malayalam Advanced AI Trainer Software Developer (Full-Stack Expert)

Malayalam Advanced AI Trainer Software Developer (Full-Stack Expert) - Fully Remote

The Business Context

You already use AI in many ways—like deciding what products and services to order—and it may be most familiar to you as a chatbot, as an avatar-maker, or as a way to unlock your screen. But here’s what AI may be able to help the world with: finding medical diagnoses, teaching you about scientific research, and calculating the complexities of any function.

But, like humans, algorithms are what they eat. They’re only as good as the rules they know and the data they’re trained on. We’re the team that helps model these behaviors.

The Role

As an Advanced AI Data Trainer you will be working closely with a team of other trainers, within protocols developed by the world’s leading AI researchers— training the AI to read, write, summarize knowledge, and interpret meaning. Think of it like being a language arts teacher or a personal tutor for some of the world’s most influential technology.

The goal of this AI is to be a safe, accurate, widely knowledgeable, and beneficial conversation partner to the world for a wide variety of purposes. Your job is to train, evaluate, and test the AI’s conversation skills, continuously equipping it to fulfill that purpose.

Day in and day out, you will:

Train the AI

You’ll spend the bulk of your time generating examples of ideal conversations, acting as both the User and the AI for the AI to learn from, collecting sources helping it read large swaths of humanity’s documented knowledge and distinguish between what is presented as fact vs. context vs. patterns of behavior.

Evaluate the AI

Our partner’s mission is to develop AI models that are safe, accurate, and beneficial to humanity. You will continuously evaluate the AI according to those criteria and our training methods. For example, you will be discerning the accuracy of the facts that the AI is outputting, but also the accuracy with which they interpret them.

Test the AI

How is testing different from evaluation? As the project grows over time, you’ll spend time actively trying to “break” the AI by “forcing” mistakes and improving the way these AI models recover. This is absolutely critical to its safety, accuracy, and use. You’ll document breaks and have the opportunity to recommend improvements to …